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Process-Oriented Basis Representations for Multivariate Process Diagnosis and Control

Summary: [This abstract is based on the author's abstract.]

Engineering tools for the diagnosis of manufacturing processes are not provided by statistical methods for multivariate process control. Instead, they characterize and monitor randomness inherent in manufactured products to find time periods or production batches that show irregular or atypical characteristics. The production engineer must diagnose the cause or causes of the irregularities and define appropriate actions. A new diagnostic approach for multivariate process measurement is presented. It uses a process-oriented basis. Many potential production problems have characteristic signatures that can be noted in the multivariate quality vector. Each signature can be used as a basis element in the process-control basis. The representation of the multivariate bias or variance using this basis identifies a small set of potential causes. These causes are associated with the basis elements (signatures) with the largest coefficients.

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  • Topics: Statistical Process Control (SPC), Process Management, Quality Control
  • Keywords: Manufacturing,Statistical process control (SPC),Process management,Multivariate quality control
  • Author: Barton, Russell R.; Gonzales-Barreto, David R.
  • Journal: Quality Engineering